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UNICEF Innocenti
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Chuka Emezue

Consultant

Chuka Emezue is an Evidence Synthesis Consultant leading the Rapid Evidence Assessment on the Impact of Educational Policies and Programmes on Child Work and Child Labour in Low-and-Middle-Income Countries. Before joining the Office of Research - Innocenti, Chuka worked on several research initiatives to reduce violence against women, community violence, and dating violence among adolescents and young adults. His current research interests include developing and deploying technology-based psychobehavioral interventions to reduce co-occurring partner violence, relapse to substance use, and treatment disparities in rural, immigrant, and high-risk justice-involved settings. Chuka’s work incorporates a wide range of quantitative and qualitative research methods, including secondary data analysis (meta-analysis, systematic and scoping reviews), applied qualitative research (using descriptive, narrative, discourse, and interpretive methods), and user-centered design for digital interventions. Chuka holds a Ph.D. in Nursing & Healthcare Innovation, a master’s degree in public health, and a master’s in public affairs from the University of Missouri-Columbia.

Publications

The Impact of Educational Policies and Programmes on Child Work and Child Labour in Low- and-Middle-Income Countries: A rapid evidence assessment (Study Protocol)
Publication Publication

The Impact of Educational Policies and Programmes on Child Work and Child Labour in Low- and-Middle-Income Countries: A rapid evidence assessment (Study Protocol)

There is increasing evidence on the importance of education access and quality for the abolition of child labour. However, to date, only a few evidence assessments have documented the effectiveness of educational policies and programmes with respect to child labour. This Rapid Evidence Assessment (REA) aims to fill this gap by providing a comprehensive review of the effects of educational policies and programmes on child labour. With the objective to provide policy and programmatic recommendations, the review will focus on quantitative and mixed methods studies that identify causal effects. The REA will be complemented by an evidence gap map.